Treffer 201 - 220 von 5.317

Exploring the landscape, hot topics, and trends of bariatric metabolic surgery with machine learning and bibliometric analysis
Song, Yancheng ; Ni, Zhenni ; Li, Yi ; et al.

Research on Acetabular Labrum Injury Based on MR: Multi-angle Deep Learning Model
Research on Acetabular Labrum Injury Based on MR: Multi-angle Deep Learning Model

Advancements in Optimization for Automotive Manufacturing: Hybrid Approaches and Machine Learning
Nelson Nainggolan ; Ebrahim Maghsoudlou ; Belal Mahmoud AlWadi ; et al.
International Journal of Industrial Engineering and Management, Vol 15, Iss 3, Pp 254-263 (2024)

Biernat Eric and Lutz Michel, 2017, Data science : fondamentaux et études de cas, Machine learning avec Python et R [Data science: fundamentals and case studies, machine learning with Python and R], Paris, Eyrolles, 296 p.
Elisabeth Morand

Chapter 6 - Strategies for efficient and intelligent user interfaces
Suriya, S. ; Balaji, M. ; Nivetha, S.
In Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era 2023:131-172

ProPythia: a python package for protein classification based on machine and deep learning
Sequeira, Ana ; Lousa, Diana ; Rocha, Miguel ; et al.

Modelaje matemático a través de la programación y la pedagogía desde un enfoque interdisciplinario
Ângulo Guerrero, Ronny Joel ; Macias Mancilla, Adriana Isabel ; Ponce Quiñonez, Dayana Daniela ; et al.
Multidisciplinary Journal of Sciences, Discoveries, and Society, ISSN 3091-1699, Vol. 2, Nº. 2, 2025 (Ejemplar dedicado a: Edición Regular: Estudios Multidisciplinarios; e-215)

THE ROLE OF ARTIFICIAL INTELLIGENCE TRAINED WITH PRE-MEASURED NUMERICAL DATA IN PREDICTION OF DIFFICULT INTUBATION
Serkan TELLİ, Asistant. Prof. Dr.
THE ROLE OF ARTIFICIAL INTELLIGENCE TRAINED WITH PRE-MEASURED NUMERICAL DATA IN PREDICTION OF DIFFICULT INTUBATION
Kim JH, Jung HS, Lee SE, Hou JU, Kwon YS. Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study. Sci Rep. 2024 Jun 20;14(1):14209. doi: 10.1038/s41598-024-65060-x.
Xia M, Jin C, Zheng Y, Wang J, Zhao M, Cao S, Xu T, Pei B, Irwin MG, Lin Z, Jiang H. Deep learning-based facial analysis for predicting difficult videolaryngoscopy: a feasibility study. Anaesthesia. 2024 Apr;79(4):399-409. doi: 10.1111/anae.16194. Epub 2023 Dec 13.
Hayasaka T, Kawano K, Kurihara K, Suzuki H, Nakane M, Kawamae K. Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study. J Intensive Care. 2021 May 6;9(1):38. doi: 10.1186/s40560-021-00551-x.

Tutorial: Artificial neural networks to analyze single-case experimental designs.
Lanovaz, Marc J. ; Bailey, Jordan D.
Psychol Methods

Natural Language Processing: Transforming Human-Computer Interactions In Information Systems.
JayaSudha, A. R. ; Vigneshkumar, K. ; Manjula, M. ; et al.
Journal of Neonatal Surgery. 2025 Supplement, Vol. 14, p645-660. 16p.

Desenvolvimento de classificadores de sequências de ADN baseado em deep learning
Abreu, João Nuno Cardoso Gonçalves de ; Rocha, Miguel ; Dias, Oscar ; et al.
urn:tid:203252250

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability.
Eghbali, Reza ; Eghbali, Reza ; Nedelec, Pierre ; et al.
Neuroinformatics; vol 23, iss 1

Power modeling of degraded PV systems: Case studies using a dynamically updated physical model (PV-Pro)
Li, Baojie ; Chen, Xin ; Jain, Anubhav
Elsevier, Renewable Energy. 236(C)

Sentiment Analysis with Python: A Hands-on Approach
G Uma Devi ; G Uma Devi

Chapter Eleven - Probabilistic, data-driven, property-based Inherently Safer Design Tool (i-SDT)
Eljack, Fadwa ; Kazi, Monzure-Khoda
In Methods in Chemical Process Safety 2024 8:333-382

Graph contextualized attention network for predicting synthetic lethality in human cancers.
Long, Yahui ; Wu, Min ; Liu, Yong ; et al.
Bioinformatics. 8/15/2021, Vol. 37 Issue 16, p2432-2440. 9p.

Multi-omics Dissection of Gut Microbiome Engraftment During FMT (DissEcT)
Gianluca Ianiro, Principal Investigator, MD, PhD
Disentangling Microbiome Engraftment by Multi-omics of the Gut Ecosystem During Fecal Transplant
D'Haens GR, Jobin C. Fecal Microbial Transplantation for Diseases Beyond Recurrent Clostridium Difficile Infection. Gastroenterology. 2019 Sep;157(3):624-636. doi: 10.1053/j.gastro.2019.04.053. Epub 2019 Jun 17.
Ianiro G, Bibbo S, Gasbarrini A, Cammarota G. Therapeutic modulation of gut microbiota: current clinical applications and future perspectives. Curr Drug Targets. 2014;15(8):762-70. doi: 10.2174/1389450115666140606111402.
Tixier EN, Verheyen E, Luo Y, Grinspan LT, Du CH, Ungaro RC, Walsh S, Grinspan AM. Systematic Review with Meta-Analysis: Fecal Microbiota Transplantation for Severe or Fulminant Clostridioides difficile. Dig Dis Sci. 2022 Mar;67(3):978-988. doi: 10.1007/s10620-021-06908-4. Epub 2021 Mar 22.
Baunwall SMD, Lee MM, Eriksen MK, Mullish BH, Marchesi JR, Dahlerup JF, Hvas CL. Faecal microbiota transplantation for recurrent Clostridioides difficile infection: An updated systematic review and meta-analysis. EClinicalMedicine. 2020 Nov 23;29-30:100642. doi: 10.1016/j.eclinm.2020.100642. eCollection 2020 Dec.
Ianiro G, Eusebi LH, Black CJ, Gasbarrini A, Cammarota G, Ford AC. Systematic review with meta-analysis: efficacy of faecal microbiota transplantation for the treatment of irritable bowel syndrome. Aliment Pharmacol Ther. 2019 Aug;50(3):240-248. doi: 10.1111/apt.15330. Epub 2019 May 28.
Costello SP, Soo W, Bryant RV, Jairath V, Hart AL, Andrews JM. Systematic review with meta-analysis: faecal microbiota transplantation for the induction of remission for active ulcerative colitis. Aliment Pharmacol Ther. 2017 Aug;46(3):213-224. doi: 10.1111/apt.14173. Epub 2017 Jun 14.
Proenca IM, Allegretti JR, Bernardo WM, de Moura DTH, Ponte Neto AM, Matsubayashi CO, Flor MM, Kotinda APST, de Moura EGH. Fecal microbiota transplantation improves metabolic syndrome parameters: systematic review with meta-analysis based on randomized clinical trials. Nutr Res. 2020 Nov;83:1-14. doi: 10.1016/j.nutres.2020.06.018. Epub 2020 Jul 3.
Ianiro G, Sanguinetti M, Gasbarrini A, Cammarota G. Predictors of failure after single faecal microbiota transplantation in patients with recurrent Clostridium difficile infection: results from a 3-year cohort study: authors' reply. Clin Microbiol Infect. 2017 Nov;23(11):891. doi: 10.1016/j.cmi.2017.05.005. Epub 2017 May 11. No abstract available.
Moayyedi P, Surette MG, Kim PT, Libertucci J, Wolfe M, Onischi C, Armstrong D, Marshall JK, Kassam Z, Reinisch W, Lee CH. Fecal Microbiota Transplantation Induces Remission in Patients With Active Ulcerative Colitis in a Randomized Controlled Trial. Gastroenterology. 2015 Jul;149(1):102-109.e6. doi: 10.1053/j.gastro.2015.04.001. Epub 2015 Apr 7.
Ianiro G, Maida M, Burisch J, Simonelli C, Hold G, Ventimiglia M, Gasbarrini A, Cammarota G. Efficacy of different faecal microbiota transplantation protocols for Clostridium difficile infection: A systematic review and meta-analysis. United European Gastroenterol J. 2018 Oct;6(8):1232-1244. doi: 10.1177/2050640618780762. Epub 2018 Jun 3.
Zuo T, Wong SH, Lam K, Lui R, Cheung K, Tang W, Ching JYL, Chan PKS, Chan MCW, Wu JCY, Chan FKL, Yu J, Sung JJY, Ng SC. Bacteriophage transfer during faecal microbiota transplantation in Clostridium difficile infection is associated with treatment outcome. Gut. 2018 Apr;67(4):634-643. doi: 10.1136/gutjnl-2017-313952. Epub 2017 May 24.
Zuo T, Wong SH, Cheung CP, Lam K, Lui R, Cheung K, Zhang F, Tang W, Ching JYL, Wu JCY, Chan PKS, Sung JJY, Yu J, Chan FKL, Ng SC. Gut fungal dysbiosis correlates with reduced efficacy of fecal microbiota transplantation in Clostridium difficile infection. Nat Commun. 2018 Sep 10;9(1):3663. doi: 10.1038/s41467-018-06103-6.
Kootte RS, Levin E, Salojarvi J, Smits LP, Hartstra AV, Udayappan SD, Hermes G, Bouter KE, Koopen AM, Holst JJ, Knop FK, Blaak EE, Zhao J, Smidt H, Harms AC, Hankemeijer T, Bergman JJGHM, Romijn HA, Schaap FG, Olde Damink SWM, Ackermans MT, Dallinga-Thie GM, Zoetendal E, de Vos WM, Serlie MJ, Stroes ESG, Groen AK, Nieuwdorp M. Improvement of Insulin Sensitivity after Lean Donor Feces in Metabolic Syndrome Is Driven by Baseline Intestinal Microbiota Composition. Cell Metab. 2017 Oct 3;26(4):611-619.e6. doi: 10.1016/j.cmet.2017.09.008.
Vaughn BP, Vatanen T, Allegretti JR, Bai A, Xavier RJ, Korzenik J, Gevers D, Ting A, Robson SC, Moss AC. Increased Intestinal Microbial Diversity Following Fecal Microbiota Transplant for Active Crohn's Disease. Inflamm Bowel Dis. 2016 Sep;22(9):2182-90. doi: 10.1097/MIB.0000000000000893.
Turpin W, Espin-Garcia O, Xu W, Silverberg MS, Kevans D, Smith MI, Guttman DS, Griffiths A, Panaccione R, Otley A, Xu L, Shestopaloff K, Moreno-Hagelsieb G; GEM Project Research Consortium; Paterson AD, Croitoru K. Association of host genome with intestinal microbial composition in a large healthy cohort. Nat Genet. 2016 Nov;48(11):1413-1417. doi: 10.1038/ng.3693. Epub 2016 Oct 3.
Goodrich JK, Davenport ER, Clark AG, Ley RE. The Relationship Between the Human Genome and Microbiome Comes into View. Annu Rev Genet. 2017 Nov 27;51:413-433. doi: 10.1146/annurev-genet-110711-155532. Epub 2017 Sep 20.
Danne C, Rolhion N, Sokol H. Recipient factors in faecal microbiota transplantation: one stool does not fit all. Nat Rev Gastroenterol Hepatol. 2021 Jul;18(7):503-513. doi: 10.1038/s41575-021-00441-5. Epub 2021 Apr 27.
Littmann ER, Lee JJ, Denny JE, Alam Z, Maslanka JR, Zarin I, Matsuda R, Carter RA, Susac B, Saffern MS, Fett B, Mattei LM, Bittinger K, Abt MC. Host immunity modulates the efficacy of microbiota transplantation for treatment of Clostridioides difficile infection. Nat Commun. 2021 Feb 2;12(1):755. doi: 10.1038/s41467-020-20793-x.
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Lavelle A, Sokol H. Gut microbiota-derived metabolites as key actors in inflammatory bowel disease. Nat Rev Gastroenterol Hepatol. 2020 Apr;17(4):223-237. doi: 10.1038/s41575-019-0258-z. Epub 2020 Feb 19.
Khoruts A, Sadowsky MJ. Understanding the mechanisms of faecal microbiota transplantation. Nat Rev Gastroenterol Hepatol. 2016 Sep;13(9):508-16. doi: 10.1038/nrgastro.2016.98. Epub 2016 Jun 22.
Zimmet P, Magliano D, Matsuzawa Y, Alberti G, Shaw J. The metabolic syndrome: a global public health problem and a new definition. J Atheroscler Thromb. 2005;12(6):295-300. doi: 10.5551/jat.12.295.
Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr; International Diabetes Federation Task Force on Epidemiology and Prevention; Hational Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009 Oct 20;120(16):1640-5. doi: 10.1161/CIRCULATIONAHA.109.192644. Epub 2009 Oct 5.
McDonald LC, Gerding DN, Johnson S, Bakken JS, Carroll KC, Coffin SE, Dubberke ER, Garey KW, Gould CV, Kelly C, Loo V, Shaklee Sammons J, Sandora TJ, Wilcox MH. Clinical Practice Guidelines for Clostridium difficile Infection in Adults and Children: 2017 Update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA). Clin Infect Dis. 2018 Mar 19;66(7):987-994. doi: 10.1093/cid/ciy149.
Costello SP, Hughes PA, Waters O, Bryant RV, Vincent AD, Blatchford P, Katsikeros R, Makanyanga J, Campaniello MA, Mavrangelos C, Rosewarne CP, Bickley C, Peters C, Schoeman MN, Conlon MA, Roberts-Thomson IC, Andrews JM. Effect of Fecal Microbiota Transplantation on 8-Week Remission in Patients With Ulcerative Colitis: A Randomized Clinical Trial. JAMA. 2019 Jan 15;321(2):156-164. doi: 10.1001/jama.2018.20046.
Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999 Sep;22(9):1462-70. doi: 10.2337/diacare.22.9.1462.
Mari A, Pacini G, Murphy E, Ludvik B, Nolan JJ. A model-based method for assessing insulin sensitivity from the oral glucose tolerance test. Diabetes Care. 2001 Mar;24(3):539-48. doi: 10.2337/diacare.24.3.539.
Cammarota G, Masucci L, Ianiro G, Bibbo S, Dinoi G, Costamagna G, Sanguinetti M, Gasbarrini A. Randomised clinical trial: faecal microbiota transplantation by colonoscopy vs. vancomycin for the treatment of recurrent Clostridium difficile infection. Aliment Pharmacol Ther. 2015 May;41(9):835-43. doi: 10.1111/apt.13144. Epub 2015 Mar 1.
Baruch EN, Youngster I, Ben-Betzalel G, Ortenberg R, Lahat A, Katz L, Adler K, Dick-Necula D, Raskin S, Bloch N, Rotin D, Anafi L, Avivi C, Melnichenko J, Steinberg-Silman Y, Mamtani R, Harati H, Asher N, Shapira-Frommer R, Brosh-Nissimov T, Eshet Y, Ben-Simon S, Ziv O, Khan MAW, Amit M, Ajami NJ, Barshack I, Schachter J, Wargo JA, Koren O, Markel G, Boursi B. Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients. Science. 2021 Feb 5;371(6529):602-609. doi: 10.1126/science.abb5920. Epub 2020 Dec 10.
Cammarota G, Ianiro G, Kelly CR, Mullish BH, Allegretti JR, Kassam Z, Putignani L, Fischer M, Keller JJ, Costello SP, Sokol H, Kump P, Satokari R, Kahn SA, Kao D, Arkkila P, Kuijper EJ, Vehreschild MJG, Pintus C, Lopetuso L, Masucci L, Scaldaferri F, Terveer EM, Nieuwdorp M, Lopez-Sanroman A, Kupcinskas J, Hart A, Tilg H, Gasbarrini A. International consensus conference on stool banking for faecal microbiota transplantation in clinical practice. Gut. 2019 Dec;68(12):2111-2121. doi: 10.1136/gutjnl-2019-319548. Epub 2019 Sep 28.
Ianiro G, Mullish BH, Kelly CR, Kassam Z, Kuijper EJ, Ng SC, Iqbal TH, Allegretti JR, Bibbo S, Sokol H, Zhang F, Fischer M, Costello SP, Keller JJ, Masucci L, van Prehn J, Quaranta G, Quraishi MN, Segal J, Kao D, Satokari R, Sanguinetti M, Tilg H, Gasbarrini A, Cammarota G. Reorganisation of faecal microbiota transplant services during the COVID-19 pandemic. Gut. 2020 Sep;69(9):1555-1563. doi: 10.1136/gutjnl-2020-321829. Epub 2020 Jul 3.
El-Salhy M, Hatlebakk JG, Gilja OH, Brathen Kristoffersen A, Hausken T. Efficacy of faecal microbiota transplantation for patients with irritable bowel syndrome in a randomised, double-blind, placebo-controlled study. Gut. 2020 May;69(5):859-867. doi: 10.1136/gutjnl-2019-319630. Epub 2019 Dec 18.
Youngster I, Mahabamunuge J, Systrom HK, Sauk J, Khalili H, Levin J, Kaplan JL, Hohmann EL. Oral, frozen fecal microbiota transplant (FMT) capsules for recurrent Clostridium difficile infection. BMC Med. 2016 Sep 9;14(1):134. doi: 10.1186/s12916-016-0680-9.
Youngster I, Russell GH, Pindar C, Ziv-Baran T, Sauk J, Hohmann EL. Oral, capsulized, frozen fecal microbiota transplantation for relapsing Clostridium difficile infection. JAMA. 2014 Nov 5;312(17):1772-8. doi: 10.1001/jama.2014.13875.
Nash AK, Auchtung TA, Wong MC, Smith DP, Gesell JR, Ross MC, Stewart CJ, Metcalf GA, Muzny DM, Gibbs RA, Ajami NJ, Petrosino JF. The gut mycobiome of the Human Microbiome Project healthy cohort. Microbiome. 2017 Nov 25;5(1):153. doi: 10.1186/s40168-017-0373-4.
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Kao D, Roach B, Silva M, Beck P, Rioux K, Kaplan GG, Chang HJ, Coward S, Goodman KJ, Xu H, Madsen K, Mason A, Wong GK, Jovel J, Patterson J, Louie T. Effect of Oral Capsule- vs Colonoscopy-Delivered Fecal Microbiota Transplantation on Recurrent Clostridium difficile Infection: A Randomized Clinical Trial. JAMA. 2017 Nov 28;318(20):1985-1993. doi: 10.1001/jama.2017.17077.
Beghini F, McIver LJ, Blanco-Miguez A, Dubois L, Asnicar F, Maharjan S, Mailyan A, Manghi P, Scholz M, Thomas AM, Valles-Colomer M, Weingart G, Zhang Y, Zolfo M, Huttenhower C, Franzosa EA, Segata N. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. Elife. 2021 May 4;10:e65088. doi: 10.7554/eLife.65088.
Vernocchi P, Marini F, Capuani G, Tomassini A, Conta G, Del Chierico F, Malattia C, De Benedetti F, Martini A, Dallapiccola B, van Dijkhuizen EHP, Miccheli A, Putignani L. Fused Omics Data Models Reveal Gut Microbiome Signatures Specific of Inactive Stage of Juvenile Idiopathic Arthritis in Pediatric Patients. Microorganisms. 2020 Oct 6;8(10):1540. doi: 10.3390/microorganisms8101540.
Zhang X, Li L, Mayne J, Ning Z, Stintzi A, Figeys D. Assessing the impact of protein extraction methods for human gut metaproteomics. J Proteomics. 2018 May 30;180:120-127. doi: 10.1016/j.jprot.2017.07.001. Epub 2017 Jul 10.
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MoDLF-A Model-Driven Deep Learning Framework for Autonomous Vehicle Perception (AVP)
Safdar, A. ; Azam, F. ; Anwar, Muhammad Waseem ; et al.

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
Gamella, Juan L. ; Peters, Jonas ; Bühlmann, Peter

Developing dynamic machine learning surrogate models of physics-based industrial process simulation models
Tahkola, M. (Mikko) ; Tahkola, M. (Mikko)